data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2003-"
],
"style": "rule"
} | {
"answer": [
"2003-"
],
"id": "wikisql-68538",
"question": "What were the playing years of the New Zealand player with 11+ caps at Perth Glory FC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"(5)"
],
"style": "rule"
} | {
"answer": [
"(5)"
],
"id": "wikisql-68539",
"question": "How many goals has a player from France scored for Perth Glory FC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"(1)"
],
"style": "rule"
} | {
"answer": [
"(1)"
],
"id": "wikisql-68540",
"question": "How many goals has a Perth Glory FC player scored since 2006?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alf-Inge Håland"
],
"style": "rule"
} | {
"answer": [
"Alf-Inge Håland"
],
"id": "wikisql-68547",
"question": "Who is the captain of the Manchester City team in the 2000/01 FA Premier League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alf-Inge Håland"
],
"style": "rule"
} | {
"answer": [
"Alf-Inge Håland"
],
"id": "wikisql-68548",
"question": "Which captaining manager is Joe Royle in the 2000-01 FA Premier League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1960",
"1962 1967",
"1973",
"1978",
"1980",
"1982",
"1989 2004"
],
"style": "rule"
} | {
"answer": [
"1960",
"1962 1967",
"1973",
"1978",
"1980",
"1982",
"1989 2004"
],
"id": "wikisql-68549",
"question": "In which year was there a women's doubles and a women's singles non-competitive in the Belgian national team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"No competition"
],
"style": "rule"
} | {
"answer": [
"No competition"
],
"id": "wikisql-68551",
"question": "In 1982, when men's doubles was unrivaled, who won Belgian International's women's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Xiao Jie"
],
"style": "rule"
} | {
"answer": [
"Xiao Jie"
],
"id": "wikisql-68552",
"question": "When Steve Baddeley won the Belgium national team's men's singles, who then won the women's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ulrich Rost"
],
"style": "rule"
} | {
"answer": [
"Ulrich Rost"
],
"id": "wikisql-68553",
"question": "When Marja Ridder won the women's singles at Belgian International, who then won the men's singles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Presenter"
],
"style": "rule"
} | {
"answer": [
"Presenter"
],
"id": "wikisql-68555",
"question": "What role did Challenge TV play in Max Somerset?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Game In TV"
],
"style": "rule"
} | {
"answer": [
"Game In TV"
],
"id": "wikisql-68556",
"question": "What broadcaster was Max Somerset in 2003?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sorcerer"
],
"style": "rule"
} | {
"answer": [
"Sorcerer"
],
"id": "wikisql-68557",
"question": "What role did BBC1 play for Max Somerset?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Undercover Magic"
],
"style": "rule"
} | {
"answer": [
"Undercover Magic"
],
"id": "wikisql-68558",
"question": "What was the title of episode 8 for Max Somerset?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Undercover Magic"
],
"style": "rule"
} | {
"answer": [
"Undercover Magic"
],
"id": "wikisql-68559",
"question": "What was the title for Max Somerset on Sky One in 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68560",
"question": "What was Yardley-BRM's points high after 1971 under Helmut Marko?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68561",
"question": "In which year did Austria-Marlboro BRM under Helmut Marko get more than 0 points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ecurie Bonnier"
],
"style": "rule"
} | {
"answer": [
"Ecurie Bonnier"
],
"id": "wikisql-68562",
"question": "Which applicant besides Helmut Marko has a Mclaren m7c chassis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"100 m"
],
"style": "rule"
} | {
"answer": [
"100 m"
],
"id": "wikisql-68575",
"question": "What is the 4th game extra result for Kerron Stewart?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"100 m"
],
"style": "rule"
} | {
"answer": [
"100 m"
],
"id": "wikisql-68576",
"question": "What extra is after 2009 for Kerron Stewart?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1-3"
],
"style": "rule"
} | {
"answer": [
"1-3"
],
"id": "wikisql-68589",
"question": "What is the score in Li Ming (soccer player born 1971)'s group with loss as a result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"July 3, 2004"
],
"style": "rule"
} | {
"answer": [
"July 3, 2004"
],
"id": "wikisql-68590",
"question": "What date is China as the venue for Li Ming (footballer born 1971)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2-1"
],
"style": "rule"
} | {
"answer": [
"2-1"
],
"id": "wikisql-68591",
"question": "Considering Li Ming (footballer, born 1971), what score has a competition of 1997 Dunhill Cup Malaysia and February 23, 1997 as the date?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2000 AFC Asian Cup Group Stages"
],
"style": "rule"
} | {
"answer": [
"2000 AFC Asian Cup Group Stages"
],
"id": "wikisql-68592",
"question": "In which competition was Li Ming (footballer born in 1971) 4-0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4-0"
],
"style": "rule"
} | {
"answer": [
"4-0"
],
"id": "wikisql-68593",
"question": "What is the score of October 16, 2000 as a date for Li Ming (footballer, born 1971)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Won"
],
"style": "rule"
} | {
"answer": [
"Won"
],
"id": "wikisql-68594",
"question": "What is the result of Li Ming's (footballer, born 1971) group stage competition of 2000 AFC Asian Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Switchfoot - Stars "
],
"style": "rule"
} | {
"answer": [
"Switchfoot - Stars "
],
"id": "wikisql-68595",
"question": "What is Scott Speer's motive before 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Won"
],
"style": "rule"
} | {
"answer": [
"Won"
],
"id": "wikisql-68596",
"question": "What is the result of Scott Speer's Debut Director of the Year award?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Video of the Year"
],
"style": "rule"
} | {
"answer": [
"Video of the Year"
],
"id": "wikisql-68597",
"question": "What is the category for the Premios Lo Nuestro Award for Scott Speer?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jacco Eltingh Paul Haarhuis"
],
"style": "rule"
} | {
"answer": [
"Jacco Eltingh Paul Haarhuis"
],
"id": "wikisql-68602",
"question": "Looking at the Eurocard Open, who are the runners-up in 1996?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–2"
],
"style": "rule"
} | {
"answer": [
"1–2"
],
"id": "wikisql-68610",
"question": "What was the result of the friendly competition for Bima Sakti?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68613",
"question": "What is the Ulim area of Pidie Jaya Regency with less than 30 villages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1952"
],
"style": "rule"
} | {
"answer": [
"1952"
],
"id": "wikisql-68625",
"question": "What was the earliest year for a 3 point cooper t20 chassis car at Ken Wharton?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-68626",
"question": "If the time is 2:13 and the crowd is less than 56,335, what is the biggest game count for the 1969 World Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"50850"
],
"style": "rule"
} | {
"answer": [
"50850"
],
"id": "wikisql-68627",
"question": "Game 2 of the 1969 World Series has how many visitors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"50850.0"
],
"style": "rule"
} | {
"answer": [
"50850.0"
],
"id": "wikisql-68628",
"question": "What was the average attendance at the 1969 World Series on October 12?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikisql-68635",
"question": "What was the maximum number of losses the Minnesota Kicks had after 1979 with an average viewership of 16,605?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-68636",
"question": "In which Minnesota Kicks season have players lost 13 games and scored 156 points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1978.0"
],
"style": "rule"
} | {
"answer": [
"1978.0"
],
"id": "wikisql-68637",
"question": "In what season for the Minnesota Kicks did the Kicks have 137+ points with 13 losses and an average attendance of 23,121+?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Prakash Padukone"
],
"style": "rule"
} | {
"answer": [
"Prakash Padukone"
],
"id": "wikisql-68638",
"question": "Name the men's singles when doubles are certain Goel Morin d'Souza in the list of Indian national badminton champions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1967"
],
"style": "rule"
} | {
"answer": [
"1967"
],
"id": "wikisql-68639",
"question": "In the list of Indian national badminton champions, what is the highest year for Dipu Ghosh Raman Ghosh and Sarojini Gogte Sunila Apte?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-68640",
"question": "What defeats did Racing de Santander, who scored less than 68 goals, goal difference less than 23 and 10 draws in the 1974/75 Segunda División?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68641",
"question": "What is the highest goal difference the club has with 33-5 points and less than 12 wins in the 1974-75 Segunda División?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"VVER-1200"
],
"style": "rule"
} | {
"answer": [
"VVER-1200"
],
"id": "wikisql-68642",
"question": "TIANWAN NUCLEAR POWER PLANT, what type of reactor has a commercial operation of – and a TIANWAN-7 UNIT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1,050 MW"
],
"style": "rule"
} | {
"answer": [
"1,050 MW"
],
"id": "wikisql-68643",
"question": "With a gross capacity of 1,126 MW and one unit of Tianwan-4 for Tianwan Nuclear Power Plant, what was the net capacity?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-68644",
"question": "Which commercial operation has gross capacity of 1,126MW and one unit of Tianwan-4 under Tianwan Nuclear Power Plant?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2-1"
],
"style": "rule"
} | {
"answer": [
"2-1"
],
"id": "wikisql-68645",
"question": "What score did Muhamad Khalid Jamlus gain as a result on December 14, 2004?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"January 15, 2005"
],
"style": "rule"
} | {
"answer": [
"January 15, 2005"
],
"id": "wikisql-68646",
"question": "What date did Muhamad Khalid Jamlus win as a result and 2-1 as a result in a 2004 Tiger Cup competition in the third place match?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2-1"
],
"style": "rule"
} | {
"answer": [
"2-1"
],
"id": "wikisql-68647",
"question": "What score does January 15, 2005 have as a date under Muhamad Khalid Jamlus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1-4"
],
"style": "rule"
} | {
"answer": [
"1-4"
],
"id": "wikisql-68649",
"question": "What score has January 3, 2005 as the date for Muhamad Khalid Jamlus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Friendly"
],
"style": "rule"
} | {
"answer": [
"Friendly"
],
"id": "wikisql-68650",
"question": "What competition under Muhamad Khalid Jamlus has May 5, 2001 as its date?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Olimpiada 40"
],
"style": "rule"
} | {
"answer": [
"Olimpiada 40"
],
"id": "wikisql-68657",
"question": "What is the original name of the film that used the title Olympics 40 in the nomination list for the 53rd Annual Academy Awards for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"The Latin Immigrant"
],
"style": "rule"
} | {
"answer": [
"The Latin Immigrant"
],
"id": "wikisql-68658",
"question": "From the list of entries for the 53rd Annual Academy Awards for Best Foreign Language Film, what title did the Colombian film use in its nomination?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Carlos Diegues"
],
"style": "rule"
} | {
"answer": [
"Carlos Diegues"
],
"id": "wikisql-68659",
"question": "Among the entries for the 53rd Annual Academy Awards for Best Foreign Language Film, who directed the film, originally called 'Bye Bye Brazil' in Portuguese?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Switzerland"
],
"style": "rule"
} | {
"answer": [
"Switzerland"
],
"id": "wikisql-68660",
"question": "From which country is the French language film by Jean-Luc Godard shortlisted for the 53rd Annual Academy Awards for Best Foreign Language Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Marco Bellocchio"
],
"style": "rule"
} | {
"answer": [
"Marco Bellocchio"
],
"id": "wikisql-68661",
"question": "From the list of entries for the 53rd Annual Academy Awards for Best Foreign Language Film, who is the director of the Italian language film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liberal"
],
"style": "rule"
} | {
"answer": [
"Liberal"
],
"id": "wikisql-68663",
"question": "Which first party has a by-election of 1849 in North Hampshire (UK Parliament constituency)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Conservative"
],
"style": "rule"
} | {
"answer": [
"Conservative"
],
"id": "wikisql-68664",
"question": "Which first party has a Conservative second party and First Member of William Wither Bramston Beach in North Hampshire (UK Parliament constituency)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Conservative"
],
"style": "rule"
} | {
"answer": [
"Conservative"
],
"id": "wikisql-68665",
"question": "Which 2nd party from North Hampshire (UK Parliament constituency) list has a 1st member of William Wither Bramston Beach?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Conservative"
],
"style": "rule"
} | {
"answer": [
"Conservative"
],
"id": "wikisql-68666",
"question": "Which second party has an 1837 election under North Hampshire (UK Parliament constituency)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Conservative"
],
"style": "rule"
} | {
"answer": [
"Conservative"
],
"id": "wikisql-68667",
"question": "Which North Hampshire (UK Parliament constituency) first party has a first member of William Wither Bramston Beach?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"353"
],
"style": "rule"
} | {
"answer": [
"353"
],
"id": "wikisql-68670",
"question": "What is Willingshain Kirchheim 1.126 under Kirchheim, Hessen ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"99"
],
"style": "rule"
} | {
"answer": [
"99"
],
"id": "wikisql-68671",
"question": "Which Rotterterrode in Kirchheim, Hessen has a Reimboldsh 80 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"73"
],
"style": "rule"
} | {
"answer": [
"73"
],
"id": "wikisql-68672",
"question": "What does Reimboldsh Willingshain 268 and Gersdorf 194 have under Kirchheim, Hessen ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"15"
],
"style": "rule"
} | {
"answer": [
"15"
],
"id": "wikisql-68673",
"question": "What Kemmerode has a Gersforf of 39 in Kirchheim, Hessen ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"227"
],
"style": "rule"
} | {
"answer": [
"227"
],
"id": "wikisql-68674",
"question": "What does Gershausen have a Willingshain of 243 and Reckerode of 224 in Kirchheim, Hesse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"358"
],
"style": "rule"
} | {
"answer": [
"358"
],
"id": "wikisql-68675",
"question": "What has Willinghshain Reimboldsh of 101 in Kirchheim, Hessen ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D32Y3578"
],
"style": "rule"
} | {
"answer": [
"D32Y3578"
],
"id": "wikisql-68678",
"question": "What is the catalog number for the Japan region at Grave New World?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1998"
],
"style": "rule"
} | {
"answer": [
"1998"
],
"id": "wikisql-68679",
"question": "What is the date in Grave New World catalog 540.934-2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikisql-68680",
"question": "What is the region for Grave New World in catalog AMLH 66078 in stereo LP format?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikisql-68681",
"question": "What is the region for Grave New World in catalog AMLH 66078 in stereo LP format?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D32Y3578"
],
"style": "rule"
} | {
"answer": [
"D32Y3578"
],
"id": "wikisql-68682",
"question": "What is the catalog number for the Japan region at Grave New World?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Japan"
],
"style": "rule"
} | {
"answer": [
"Japan"
],
"id": "wikisql-68683",
"question": "What is the region of the catalog under Grave New World that is in CD format and has a label a&m/canyon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FIFA Women’s World Cup – group stage"
],
"style": "rule"
} | {
"answer": [
"FIFA Women’s World Cup – group stage"
],
"id": "wikisql-68686",
"question": "Name the competition for Stephanie Cox on July 2nd, 2011 under Carli Lloyd?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"90. Start"
],
"style": "rule"
} | {
"answer": [
"90. Start"
],
"id": "wikisql-68687",
"question": "Name the lineup for Carli Lloyd under Washington DC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2010-03-03",
"2011-03-09"
],
"style": "rule"
} | {
"answer": [
"2010-03-03",
"2011-03-09"
],
"id": "wikisql-68688",
"question": "Give the date for Faro under Carli Lloyd?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-68691",
"question": "What was the lowest score with a Coloni FC88 chassis for Pierre-Henri Raphanel's formula?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-68692",
"question": "How many years has Pierre-Henri Raphanel's chassis been a Coloni C3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-68693",
"question": "From Pierre-Henri Raphanel, what were the most points for Coloni Spa?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CARA Brazzaville"
],
"style": "rule"
} | {
"answer": [
"CARA Brazzaville"
],
"id": "wikisql-68694",
"question": "Which Team 1 had a Team 2 of Asante Kotokos 1983 African Cup of Champions Clubs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"KAC Kenitra"
],
"style": "rule"
} | {
"answer": [
"KAC Kenitra"
],
"id": "wikisql-68695",
"question": "Which team 1 had a team 2 of Hafia FC among clubs in 1983 African Cup of Champions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4-0"
],
"style": "rule"
} | {
"answer": [
"4-0"
],
"id": "wikisql-68696",
"question": "What was the total for the match between the 1983 African Cup of Nations clubs and a Hafia FC Team 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"JE Tizi-Ouzou"
],
"style": "rule"
} | {
"answer": [
"JE Tizi-Ouzou"
],
"id": "wikisql-68697",
"question": "Who was the 1983 African Cup of Champions Clubs team that drew 1-0 in the first leg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Asante Kotoko"
],
"style": "rule"
} | {
"answer": [
"Asante Kotoko"
],
"id": "wikisql-68698",
"question": "Which team 2 had an aggregate score of 3-4 and a return score of 0-2 among clubs in the 1983 African Cup of Champions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"五道口 wǔdàokǒu"
],
"style": "rule"
} | {
"answer": [
"五道口 wǔdàokǒu"
],
"id": "wikisql-68700",
"question": "What is the Chinese name of Wudaokou Station on Beijing Subway Line 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-68701",
"question": "What is the transfer distance (km) greater than 36.5 at Guangximen Station on Beijing Subway Line 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shangdi"
],
"style": "rule"
} | {
"answer": [
"Shangdi"
],
"id": "wikisql-68702",
"question": "The Chinese name of 上地 shàngdì belongs to which station on Beijing subway line 13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bradley Hughes , Brendan Jones Bill Lunde"
],
"style": "rule"
} | {
"answer": [
"Bradley Hughes , Brendan Jones Bill Lunde"
],
"id": "wikisql-68703",
"question": "Name the runner-up for 3-shot margin of victory for Gavin Coles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3 Sep 2006"
],
"style": "rule"
} | {
"answer": [
"3 Sep 2006"
],
"id": "wikisql-68704",
"question": "Name the date of Gavin Coles when the margin was 1 stroke and the tournament of the legendary financial group classic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bradley Hughes"
],
"style": "rule"
} | {
"answer": [
"Bradley Hughes"
],
"id": "wikisql-68705",
"question": "Name the 1 shot margin runner-up and tournament of the legendary financial groups classic for Gavin Coles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1 stroke"
],
"style": "rule"
} | {
"answer": [
"1 stroke"
],
"id": "wikisql-68706",
"question": "What's the winning margin for Jonas Blixt under Gavin Coles?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rep"
],
"style": "rule"
} | {
"answer": [
"Rep"
],
"id": "wikisql-68707",
"question": "Which party has a majority office in the Indiana House of Representatives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Minority Caucus Chair"
],
"style": "rule"
} | {
"answer": [
"Minority Caucus Chair"
],
"id": "wikisql-68712",
"question": "What office does a party hold from the and a first elected of 1991† under the Indiana House of Representatives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-68713",
"question": "How many laps did Bob Sweikert do in 1955?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20"
],
"style": "rule"
} | {
"answer": [
"20"
],
"id": "wikisql-68714",
"question": "What was Bob Sweikert's goal with less than 200 laps in 1953?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikisql-68715",
"question": "What was Bob Swikert's rank in 1955?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"197"
],
"style": "rule"
} | {
"answer": [
"197"
],
"id": "wikisql-68716",
"question": "How many laps did Bob Sweikert do in 1954?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"21"
],
"style": "rule"
} | {
"answer": [
"21"
],
"id": "wikisql-68717",
"question": "What rank was less than 200 laps with a finish of 26 under Bob Sweikert?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.0"
],
"style": "rule"
} | {
"answer": [
"0.0"
],
"id": "wikisql-68718",
"question": "What are the average wins of these games with 3 podiums for Natacha Gachnang?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Enugu Rangers"
],
"style": "rule"
} | {
"answer": [
"Enugu Rangers"
],
"id": "wikisql-68719",
"question": "Wer war Team 1, als Team 2 Young Africans beim African Cup of Champions Clubs 1975 war?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2-4"
],
"style": "rule"
} | {
"answer": [
"2-4"
],
"id": "wikisql-68720",
"question": "What was the score in the first leg of Al-Merrikh as Team 2 in the 1975 African Cup of Champions Clubs?",
"split": "train"
} |
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